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An implementation of maximum likelihood estimators for a variety of heavy tailed distributions, including both the discrete and continuous power law distributions. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.

copied from cf-staging / r-powerlaw
Type Size Name Uploaded Downloads Labels
conda 3.2 MB | noarch/r-powerlaw-0.70.1-r351h6115d3f_1001.tar.bz2  6 years and 2 months ago 4649 main cf202003 gcc7 cf201901
conda 3.2 MB | linux-64/r-powerlaw-0.70.1-r341h6115d3f_1.tar.bz2  6 years and 2 months ago 4612 main cf202003 cf201901
conda 3.2 MB | linux-64/r-powerlaw-0.70.1-r351h6115d3f_1.tar.bz2  6 years and 2 months ago 4591 main cf202003 cf201901
conda 3.2 MB | win-64/r-powerlaw-0.70.1-r351h6115d3f_1.tar.bz2  6 years and 3 months ago 1728 main cf202003 cf201901
conda 3.2 MB | win-64/r-powerlaw-0.70.1-r341h6115d3f_1.tar.bz2  6 years and 3 months ago 1728 main cf202003 cf201901
conda 3.2 MB | osx-64/r-powerlaw-0.70.1-r351h6115d3f_1.tar.bz2  6 years and 3 months ago 382 main cf202003 cf201901
conda 3.2 MB | osx-64/r-powerlaw-0.70.1-r341h6115d3f_1.tar.bz2  6 years and 3 months ago 386 main cf202003 cf201901
conda 3.2 MB | osx-64/r-powerlaw-0.70.1-r3.4.1_0.tar.bz2  7 years and 4 months ago 411 main cf202003 cf201901
conda 3.1 MB | osx-64/r-powerlaw-0.70.1-r3.3.2_0.tar.bz2  7 years and 4 months ago 384 main cf202003 cf201901
conda 3.1 MB | win-64/r-powerlaw-0.70.1-r3.3.2_0.tar.bz2  7 years and 4 months ago 1908 main cf202003 cf201901
conda 3.2 MB | win-64/r-powerlaw-0.70.1-r3.4.1_0.tar.bz2  7 years and 4 months ago 1903 main cf202003 cf201901
conda 3.1 MB | linux-64/r-powerlaw-0.70.1-r3.3.2_0.tar.bz2  7 years and 4 months ago 5066 main cf202003 cf201901
conda 3.2 MB | linux-64/r-powerlaw-0.70.1-r3.4.1_0.tar.bz2  7 years and 4 months ago 5101 main cf202003 cf201901

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